Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:40:37.003653
Analysis finished2020-08-25 00:41:37.692114
Duration1 minute and 0.69 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.668269634246826e-10
Minimum-1.6712888479232788
Maximum1.7148474454879759
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:37.738920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.671288848
5-th percentile-1.540233803
Q1-0.8814211488
median-0.02447049785
Q30.85274297
95-th percentile1.565433234
Maximum1.714847445
Range3.386136293
Interquartile range (IQR)1.734164119

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)1499639417
Kurtosis-1.240222266
Mean6.668269634e-10
Median Absolute Deviation (MAD)0.860121876
Skewness0.01198508403
Sum3.334134817e-07
Variance0.9999999968
2020-08-25T00:41:37.843976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.25780892410.2%
 
0.343911081610.2%
 
-0.0827368870410.2%
 
-0.943402826810.2%
 
1.58142447510.2%
 
1.68179249810.2%
 
-1.40205001810.2%
 
-0.791326701610.2%
 
-1.44007718610.2%
 
-0.998360931910.2%
 
-0.880805432810.2%
 
1.66664528810.2%
 
-1.06313145210.2%
 
-1.14712047610.2%
 
0.535477459410.2%
 
-0.939613580710.2%
 
1.41672503910.2%
 
0.617511928110.2%
 
-0.435384273510.2%
 
1.62955915910.2%
 
-1.16471731710.2%
 
-0.88383948810.2%
 
-0.136313915310.2%
 
1.23309862610.2%
 
-1.57541394210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67128884810.2%
 
-1.66828370110.2%
 
-1.66358625910.2%
 
-1.65789377710.2%
 
-1.63824200610.2%
 
-1.63104593810.2%
 
-1.62280690710.2%
 
-1.61270821110.2%
 
-1.61112654210.2%
 
-1.60962748510.2%
 
ValueCountFrequency (%) 
1.71484744510.2%
 
1.69819831810.2%
 
1.68844556810.2%
 
1.68595027910.2%
 
1.68179249810.2%
 
1.67832899110.2%
 
1.6782356510.2%
 
1.67039072510.2%
 
1.66664528810.2%
 
1.66377675510.2%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.148320734500885e-09
Minimum-1.6788547039031982
Maximum1.6903927326202393
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:37.959064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.678854704
5-th percentile-1.51493035
Q1-0.8691921681
median0.05648814328
Q30.8507309854
95-th percentile1.573749292
Maximum1.690392733
Range3.369247437
Interquartile range (IQR)1.719923154

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-870836838.6
Kurtosis-1.25899674
Mean-1.148320735e-09
Median Absolute Deviation (MAD)0.8699309528
Skewness0.01276937765
Sum-5.741603673e-07
Variance0.9999999962
2020-08-25T00:41:38.061094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.46125936510.2%
 
-0.0110677862510.2%
 
0.18659843510.2%
 
-0.739560842510.2%
 
1.57360422610.2%
 
0.341462880410.2%
 
-0.536442875910.2%
 
1.36196148410.2%
 
0.593091130310.2%
 
-0.816725373310.2%
 
-0.789098620410.2%
 
-0.0819496884910.2%
 
-0.109058380110.2%
 
-1.19011175610.2%
 
0.328290253910.2%
 
-0.903653979310.2%
 
-1.56841278110.2%
 
-1.25652861610.2%
 
0.476731598410.2%
 
0.275911182210.2%
 
-1.59337115310.2%
 
-0.515986859810.2%
 
1.30787634810.2%
 
0.743143141310.2%
 
1.08664631810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67885470410.2%
 
-1.66956841910.2%
 
-1.65448081510.2%
 
-1.65139770510.2%
 
-1.64899873710.2%
 
-1.64012372510.2%
 
-1.63630807410.2%
 
-1.62729287110.2%
 
-1.61220812810.2%
 
-1.60638999910.2%
 
ValueCountFrequency (%) 
1.69039273310.2%
 
1.69019067310.2%
 
1.68877673110.2%
 
1.67917275410.2%
 
1.67867255210.2%
 
1.66790187410.2%
 
1.66739368410.2%
 
1.66072583210.2%
 
1.64589095110.2%
 
1.63097655810.2%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5888363122940063e-09
Minimum-1.6137990951538086
Maximum1.922117829322815
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:38.171233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.613799095
5-th percentile-1.444877779
Q1-0.8166578263
median-0.1002190784
Q30.7807229757
95-th percentile1.711742514
Maximum1.922117829
Range3.535916924
Interquartile range (IQR)1.597380802

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)629391456.9
Kurtosis-1.066050388
Mean1.588836312e-09
Median Absolute Deviation (MAD)0.7844754085
Skewness0.2058796566
Sum7.944181561e-07
Variance1.000000003
2020-08-25T00:41:38.286102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.81534254610.2%
 
-0.0309184137710.2%
 
1.72044360610.2%
 
-1.56866610110.2%
 
-1.43577957210.2%
 
-0.443894833310.2%
 
0.744442284110.2%
 
-1.20538365810.2%
 
-0.580383241210.2%
 
1.71155083210.2%
 
-1.07288181810.2%
 
0.463534444610.2%
 
-1.04945635810.2%
 
0.727031648210.2%
 
-0.882490336910.2%
 
-0.872828662410.2%
 
0.164884969610.2%
 
0.657557725910.2%
 
1.06752729410.2%
 
1.920677910.2%
 
-0.603850066710.2%
 
-1.08741605310.2%
 
-0.759423017510.2%
 
0.126794919410.2%
 
-0.322926580910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.61379909510.2%
 
-1.61154353610.2%
 
-1.60982644610.2%
 
-1.60743701510.2%
 
-1.58957755610.2%
 
-1.58526492110.2%
 
-1.57255148910.2%
 
-1.56866610110.2%
 
-1.56555569210.2%
 
-1.54480254710.2%
 
ValueCountFrequency (%) 
1.92211782910.2%
 
1.920677910.2%
 
1.91603815610.2%
 
1.91363954510.2%
 
1.89934456310.2%
 
1.89548504410.2%
 
1.88753175710.2%
 
1.88597834110.2%
 
1.85955965510.2%
 
1.85642504710.2%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1711381375789643e-09
Minimum-1.675860047340393
Maximum1.690293550491333
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:38.406138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.675860047
5-th percentile-1.507348502
Q1-0.9025808424
median-0.004370018491
Q30.8917050213
95-th percentile1.535923117
Maximum1.69029355
Range3.366153598
Interquartile range (IQR)1.794285864

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)853870236.3
Kurtosis-1.285158217
Mean1.171138138e-09
Median Absolute Deviation (MAD)0.8971298337
Skewness0.0004540944293
Sum5.855690688e-07
Variance0.9999999964
2020-08-25T00:41:38.510185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.731445014510.2%
 
0.649741470810.2%
 
1.5416330110.2%
 
1.2408547410.2%
 
1.58726441910.2%
 
-0.838205754810.2%
 
0.155840769410.2%
 
-1.27407145510.2%
 
1.65879809910.2%
 
-0.386390596610.2%
 
1.08267283410.2%
 
-0.0600787326710.2%
 
-0.376137942110.2%
 
0.325846493210.2%
 
0.895834863210.2%
 
0.946618080110.2%
 
-0.148347333110.2%
 
-1.32419562310.2%
 
-0.741542637310.2%
 
0.94573885210.2%
 
1.23308944710.2%
 
0.135337844510.2%
 
-0.492019087110.2%
 
-0.369310498210.2%
 
-1.12568545310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67586004710.2%
 
-1.67170643810.2%
 
-1.66833865610.2%
 
-1.66694974910.2%
 
-1.6574983610.2%
 
-1.6568756110.2%
 
-1.65200698410.2%
 
-1.64017057410.2%
 
-1.63838875310.2%
 
-1.63257765810.2%
 
ValueCountFrequency (%) 
1.6902935510.2%
 
1.68398797510.2%
 
1.67950999710.2%
 
1.65879809910.2%
 
1.65702629110.2%
 
1.65580689910.2%
 
1.64919042610.2%
 
1.62746453310.2%
 
1.62488853910.2%
 
1.62483775610.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.466607840645452e-09
Minimum-1.769908428192139
Maximum1.7936445474624634
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:38.626491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.769908428
5-th percentile-1.594836658
Q1-0.8412484825
median-0.02770060394
Q30.8611280322
95-th percentile1.561278713
Maximum1.793644547
Range3.563552976
Interquartile range (IQR)1.702376515

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)405415073.9
Kurtosis-1.143029169
Mean2.466607841e-09
Median Absolute Deviation (MAD)0.8690232644
Skewness-0.002682744383
Sum1.23330392e-06
Variance1
2020-08-25T00:41:38.896418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.06685054310.2%
 
-0.628292083710.2%
 
-1.149100910.2%
 
1.10028110.2%
 
1.79364454710.2%
 
-0.541356205910.2%
 
-0.754247903810.2%
 
0.0972108393910.2%
 
-1.16337525810.2%
 
1.58524155610.2%
 
-0.0504978746210.2%
 
0.197421327210.2%
 
0.902697801610.2%
 
-1.01438164710.2%
 
1.01438605810.2%
 
0.599973440210.2%
 
1.1118279710.2%
 
-1.50565302410.2%
 
-0.205657973910.2%
 
0.0326769202910.2%
 
-1.41480338610.2%
 
1.50855469710.2%
 
-0.0383678525710.2%
 
0.824592769110.2%
 
-0.374699622410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76990842810.2%
 
-1.76560044310.2%
 
-1.75187122810.2%
 
-1.74775135510.2%
 
-1.73544657210.2%
 
-1.72276055810.2%
 
-1.71726095710.2%
 
-1.71257722410.2%
 
-1.69660401310.2%
 
-1.68537044510.2%
 
ValueCountFrequency (%) 
1.79364454710.2%
 
1.79145383810.2%
 
1.78703415410.2%
 
1.78042864810.2%
 
1.77937293110.2%
 
1.77099502110.2%
 
1.74704015310.2%
 
1.74006724410.2%
 
1.73958504210.2%
 
1.73318946410.2%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0755611583590508e-09
Minimum-1.6887158155441284
Maximum1.7027558088302612
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:39.014092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.688715816
5-th percentile-1.518997759
Q1-0.8841171265
median0.001525401982
Q30.8748800755
95-th percentile1.537040955
Maximum1.702755809
Range3.391471624
Interquartile range (IQR)1.758997202

Descriptive statistics

Standard deviation0.999999996
Coefficient of variation (CV)929747219.2
Kurtosis-1.235423177
Mean1.075561158e-09
Median Absolute Deviation (MAD)0.8792182207
Skewness0.04039930258
Sum5.377805792e-07
Variance0.999999992
2020-08-25T00:41:39.122658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.34765601210.2%
 
0.799193680310.2%
 
-0.724596798410.2%
 
0.294114947310.2%
 
0.682960271810.2%
 
-0.913429498710.2%
 
0.211742922710.2%
 
-1.00069165210.2%
 
0.975691497310.2%
 
-1.31905436510.2%
 
1.50291669410.2%
 
0.304375827310.2%
 
-1.09939968610.2%
 
0.274592578410.2%
 
-1.29917228210.2%
 
1.40893602410.2%
 
-0.485579967510.2%
 
-0.958377778510.2%
 
0.863127946910.2%
 
-0.578498423110.2%
 
1.27809321910.2%
 
-0.380186885610.2%
 
-1.10706555810.2%
 
0.629285454810.2%
 
-0.108391597910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68871581610.2%
 
-1.6860256210.2%
 
-1.66886949510.2%
 
-1.66828858910.2%
 
-1.66426408310.2%
 
-1.65848374410.2%
 
-1.65798151510.2%
 
-1.65713095710.2%
 
-1.65579569310.2%
 
-1.65349304710.2%
 
ValueCountFrequency (%) 
1.70275580910.2%
 
1.69557726410.2%
 
1.69445514710.2%
 
1.69287180910.2%
 
1.67029440410.2%
 
1.66965961510.2%
 
1.66644191710.2%
 
1.66232240210.2%
 
1.66067767110.2%
 
1.66044175610.2%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0244548320770264e-09
Minimum-1.698414325714111
Maximum1.888866662979126
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:39.237604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.698414326
5-th percentile-1.518142056
Q1-0.84362638
median-0.03938660584
Q30.8160043508
95-th percentile1.638191795
Maximum1.888866663
Range3.587280989
Interquartile range (IQR)1.659630731

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-976128932.4
Kurtosis-1.120922511
Mean-1.024454832e-09
Median Absolute Deviation (MAD)0.8320726696
Skewness0.0988603397
Sum-5.12227416e-07
Variance1.000000003
2020-08-25T00:41:39.341227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.24609732610.2%
 
1.63668882810.2%
 
0.837241351610.2%
 
-1.10416674610.2%
 
0.275555878910.2%
 
-0.13582503810.2%
 
-1.43425917610.2%
 
-0.244259327710.2%
 
0.64228081710.2%
 
-0.0156965907710.2%
 
0.652683079210.2%
 
0.541359186210.2%
 
1.48506784410.2%
 
-1.06124174610.2%
 
1.4811682710.2%
 
-0.711288988610.2%
 
0.59004712110.2%
 
-0.580431640110.2%
 
-1.55149245310.2%
 
1.00656986210.2%
 
-0.129239663510.2%
 
1.64329659910.2%
 
-1.58861315310.2%
 
-1.26634907710.2%
 
0.47137281310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69841432610.2%
 
-1.69375503110.2%
 
-1.69044005910.2%
 
-1.68101024610.2%
 
-1.67294764510.2%
 
-1.6724569810.2%
 
-1.65741765510.2%
 
-1.62824940710.2%
 
-1.61696910910.2%
 
-1.59501254610.2%
 
ValueCountFrequency (%) 
1.88886666310.2%
 
1.86377632610.2%
 
1.85606551210.2%
 
1.84989440410.2%
 
1.83792293110.2%
 
1.82668471310.2%
 
1.81963014610.2%
 
1.81847000110.2%
 
1.81004381210.2%
 
1.80039000510.2%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.733462178942773e-10
Minimum-1.8072082996368408
Maximum1.6525607109069824
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:39.458611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.8072083
5-th percentile-1.56989888
Q1-0.9100965858
median0.02214179281
Q30.8565978706
95-th percentile1.468436265
Maximum1.652560711
Range3.459769011
Interquartile range (IQR)1.766694456

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1485120097
Kurtosis-1.212198145
Mean6.733462179e-10
Median Absolute Deviation (MAD)0.857341677
Skewness-0.07738149333
Sum3.366731089e-07
Variance1.000000001
2020-08-25T00:41:39.564032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.612303137810.2%
 
-0.569308757810.2%
 
-0.972996830910.2%
 
-0.0497588962310.2%
 
1.17198610310.2%
 
-0.506203353410.2%
 
1.28416991210.2%
 
-0.269846737410.2%
 
0.471364617310.2%
 
-0.202062562110.2%
 
0.664412081210.2%
 
-0.683944821410.2%
 
1.31101286410.2%
 
-1.32297503910.2%
 
0.958676278610.2%
 
0.0138908550110.2%
 
-1.73717975610.2%
 
1.28393435510.2%
 
-1.59106123410.2%
 
0.0591302886610.2%
 
-0.682987272710.2%
 
-0.586309373410.2%
 
-0.448916584310.2%
 
0.273738294810.2%
 
-1.2160438310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.807208310.2%
 
-1.80692994610.2%
 
-1.80261504710.2%
 
-1.7721394310.2%
 
-1.7407417310.2%
 
-1.73717975610.2%
 
-1.73297703310.2%
 
-1.73147070410.2%
 
-1.72694027410.2%
 
-1.7267750510.2%
 
ValueCountFrequency (%) 
1.65256071110.2%
 
1.64258444310.2%
 
1.62810695210.2%
 
1.61894679110.2%
 
1.61826825110.2%
 
1.61274266210.2%
 
1.59741544710.2%
 
1.59474122510.2%
 
1.59326946710.2%
 
1.58242964710.2%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.718343451619148e-10
Minimum-1.7100640535354614
Maximum1.6144955158233645
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:39.679665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710064054
5-th percentile-1.570200002
Q1-0.8771306574
median-0.006214937428
Q30.9067151397
95-th percentile1.492547125
Maximum1.614495516
Range3.324559569
Interquartile range (IQR)1.783845797

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)1147006892
Kurtosis-1.287276594
Mean8.718343452e-10
Median Absolute Deviation (MAD)0.8856849372
Skewness-0.05344772228
Sum4.359171726e-07
Variance1.000000005
2020-08-25T00:41:39.787596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.13281238110.2%
 
1.24678039610.2%
 
-1.19203805910.2%
 
1.39125955110.2%
 
-1.07358288810.2%
 
-0.808917820510.2%
 
-0.0612385459210.2%
 
0.509115099910.2%
 
-0.839195311110.2%
 
-0.572910726110.2%
 
0.507168114210.2%
 
1.58074426710.2%
 
0.704436838610.2%
 
-0.897799372710.2%
 
-1.2799745810.2%
 
-1.53175389810.2%
 
0.685919702110.2%
 
-1.16141343110.2%
 
1.55538606610.2%
 
0.986678004310.2%
 
-1.29171884110.2%
 
0.238613814110.2%
 
-0.49138891710.2%
 
0.648794949110.2%
 
-0.829582810410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71006405410.2%
 
-1.70144367210.2%
 
-1.69661724610.2%
 
-1.68570065510.2%
 
-1.682826410.2%
 
-1.66956734710.2%
 
-1.66331291210.2%
 
-1.66088950610.2%
 
-1.65317380410.2%
 
-1.645895610.2%
 
ValueCountFrequency (%) 
1.61449551610.2%
 
1.6034516110.2%
 
1.59645891210.2%
 
1.58550715410.2%
 
1.58074426710.2%
 
1.57131516910.2%
 
1.55538606610.2%
 
1.55360662910.2%
 
1.55300414610.2%
 
1.55031454610.2%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3366883397102355e-09
Minimum-1.746807098388672
Maximum1.6000428199768066
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:39.903877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.746807098
5-th percentile-1.587697989
Q1-0.8959939331
median0.09108158946
Q30.8862394392
95-th percentile1.479530299
Maximum1.60004282
Range3.346849918
Interquartile range (IQR)1.782233372

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)427956088
Kurtosis-1.26597071
Mean2.33668834e-09
Median Absolute Deviation (MAD)0.8786258996
Skewness-0.09315190536
Sum1.16834417e-06
Variance1.000000002
2020-08-25T00:41:40.008773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.822264194510.2%
 
1.20765125810.2%
 
0.290685445110.2%
 
-1.23104608110.2%
 
1.03095483810.2%
 
1.34902393810.2%
 
-0.680959463110.2%
 
0.0276888348210.2%
 
1.51036834710.2%
 
1.37755775510.2%
 
0.990618944210.2%
 
-0.262360125810.2%
 
0.336579531410.2%
 
0.633770763910.2%
 
-1.61585366710.2%
 
1.50843334210.2%
 
-1.32879042610.2%
 
-0.428379237710.2%
 
1.3443771610.2%
 
-0.0813814625110.2%
 
-0.518870770910.2%
 
0.160968124910.2%
 
-0.771803140610.2%
 
0.950851857710.2%
 
1.01302921810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74680709810.2%
 
-1.74673247310.2%
 
-1.73099935110.2%
 
-1.73076367410.2%
 
-1.72658455410.2%
 
-1.72601056110.2%
 
-1.71693301210.2%
 
-1.71142613910.2%
 
-1.71109664410.2%
 
-1.69601941110.2%
 
ValueCountFrequency (%) 
1.6000428210.2%
 
1.59819984410.2%
 
1.59788310510.2%
 
1.59717965110.2%
 
1.59194755610.2%
 
1.57488369910.2%
 
1.57443058510.2%
 
1.56507539710.2%
 
1.56449484810.2%
 
1.5570017110.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6891939342021943e-10
Minimum-1.6520938873291016
Maximum1.7387100458145142
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:40.130390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.652093887
5-th percentile-1.439876682
Q1-0.8885241598
median-0.07899586856
Q30.8897487223
95-th percentile1.576330352
Maximum1.738710046
Range3.390803933
Interquartile range (IQR)1.778272882

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3718586407
Kurtosis-1.271511641
Mean2.689193934e-10
Median Absolute Deviation (MAD)0.8690586239
Skewness0.1099763986
Sum1.344596967e-07
Variance1.000000002
2020-08-25T00:41:40.235779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.661128938210.2%
 
1.70766496710.2%
 
-0.176016494610.2%
 
1.34433376810.2%
 
0.185376197110.2%
 
-0.231707736810.2%
 
-0.128492727910.2%
 
-0.151686310810.2%
 
-0.906923174910.2%
 
-1.50256586110.2%
 
-0.659487307110.2%
 
0.74402046210.2%
 
-0.381992280510.2%
 
1.65101695110.2%
 
1.54555451910.2%
 
0.0469558909510.2%
 
0.208825677610.2%
 
0.365994483210.2%
 
-1.43814837910.2%
 
0.868489205810.2%
 
0.841146349910.2%
 
-1.5963567510.2%
 
-0.931970000310.2%
 
0.66536915310.2%
 
1.49871003610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65209388710.2%
 
-1.65017068410.2%
 
-1.64530301110.2%
 
-1.6349623210.2%
 
-1.6343170410.2%
 
-1.62571716310.2%
 
-1.61904895310.2%
 
-1.6168482310.2%
 
-1.61056661610.2%
 
-1.5963567510.2%
 
ValueCountFrequency (%) 
1.73871004610.2%
 
1.72883963610.2%
 
1.72620832910.2%
 
1.71920704810.2%
 
1.7183805710.2%
 
1.71681678310.2%
 
1.70766496710.2%
 
1.70348465410.2%
 
1.69960987610.2%
 
1.68949341810.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6847625374794006e-09
Minimum-1.817176103591919
Maximum1.6877789497375488
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:40.353445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.817176104
5-th percentile-1.60639317
Q1-0.9033726603
median0.0882139951
Q30.773210153
95-th percentile1.543510288
Maximum1.68777895
Range3.504955053
Interquartile range (IQR)1.676582813

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)593555457.3
Kurtosis-1.160560807
Mean1.684762537e-09
Median Absolute Deviation (MAD)0.8387002945
Skewness-0.07003793657
Sum8.423812687e-07
Variance0.9999999969
2020-08-25T00:41:40.459449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.38476085710.2%
 
-0.882175087910.2%
 
-0.750316202610.2%
 
0.614871203910.2%
 
1.39991319210.2%
 
-0.481116741910.2%
 
1.60849714310.2%
 
-1.0475187310.2%
 
0.927084386310.2%
 
0.456218451310.2%
 
-1.45467877410.2%
 
-0.72298687710.2%
 
-0.194881156110.2%
 
-0.640958905210.2%
 
0.0740250274510.2%
 
-0.605810761510.2%
 
0.56489682210.2%
 
-1.3427791610.2%
 
-1.6335059410.2%
 
0.0467746928310.2%
 
-1.44496452810.2%
 
1.68229472610.2%
 
-0.594103038310.2%
 
0.241903811710.2%
 
-1.45969784310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.81717610410.2%
 
-1.80458927210.2%
 
-1.80376207810.2%
 
-1.78944063210.2%
 
-1.78842055810.2%
 
-1.78796362910.2%
 
-1.76786303510.2%
 
-1.71579539810.2%
 
-1.70483195810.2%
 
-1.70462071910.2%
 
ValueCountFrequency (%) 
1.6877789510.2%
 
1.68405318310.2%
 
1.68389093910.2%
 
1.68229472610.2%
 
1.67569720710.2%
 
1.67438530910.2%
 
1.66520214110.2%
 
1.65798234910.2%
 
1.64658343810.2%
 
1.63916289810.2%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.39470885694027e-10
Minimum-1.7131279706954956
Maximum1.7431732416152954
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:40.577364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.713127971
5-th percentile-1.553082061
Q1-0.8666104078
median-0.006321884546
Q30.8998506367
95-th percentile1.529725099
Maximum1.743173242
Range3.456301212
Interquartile range (IQR)1.766461045

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1191226544
Kurtosis-1.221463364
Mean-8.394708857e-10
Median Absolute Deviation (MAD)0.8724076973
Skewness0.007481213885
Sum-4.197354428e-07
Variance1.000000003
2020-08-25T00:41:40.681694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.41405904310.2%
 
-0.86604064710.2%
 
0.823541700810.2%
 
0.444486856510.2%
 
-1.58849704310.2%
 
-1.19470584410.2%
 
1.17053234610.2%
 
-0.816650688610.2%
 
-0.589175581910.2%
 
-0.884099721910.2%
 
-0.912198841610.2%
 
0.452793240510.2%
 
-0.478319644910.2%
 
0.765988051910.2%
 
-0.849926233310.2%
 
-1.60028362310.2%
 
1.69945526110.2%
 
0.969072043910.2%
 
1.16638469710.2%
 
-1.23111653310.2%
 
0.210286453410.2%
 
-0.420545041610.2%
 
0.0928148999810.2%
 
-1.18671846410.2%
 
0.856781959510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71312797110.2%
 
-1.71295201810.2%
 
-1.71175205710.2%
 
-1.68890428510.2%
 
-1.6859818710.2%
 
-1.68092668110.2%
 
-1.6803040510.2%
 
-1.67820215210.2%
 
-1.66132831610.2%
 
-1.6548569210.2%
 
ValueCountFrequency (%) 
1.74317324210.2%
 
1.73840093610.2%
 
1.7353986510.2%
 
1.72353541910.2%
 
1.72128844310.2%
 
1.71478760210.2%
 
1.69945526110.2%
 
1.69916737110.2%
 
1.69447672410.2%
 
1.68374073510.2%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6950070858001709e-10
Minimum-1.792951226234436
Maximum1.624339580535889
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:40.808140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.792951226
5-th percentile-1.647445697
Q1-0.8082782626
median0.01136378734
Q30.9248502553
95-th percentile1.481898713
Maximum1.624339581
Range3.417290807
Interquartile range (IQR)1.733128518

Descriptive statistics

Standard deviation0.9999999978
Coefficient of variation (CV)-5899680339
Kurtosis-1.166014095
Mean-1.695007086e-10
Median Absolute Deviation (MAD)0.8747929803
Skewness-0.131081555
Sum-8.475035429e-08
Variance0.9999999956
2020-08-25T00:41:40.912241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.435546487610.2%
 
-1.39128160510.2%
 
-1.37561488210.2%
 
1.5416344410.2%
 
1.34703588510.2%
 
-0.19102874410.2%
 
1.20960974710.2%
 
-0.90460985910.2%
 
-0.823556840410.2%
 
-0.554026305710.2%
 
1.28691184510.2%
 
-0.130450457310.2%
 
-0.967453539410.2%
 
-0.257973343110.2%
 
1.52473735810.2%
 
1.09636282910.2%
 
-1.42890834810.2%
 
0.0435387976510.2%
 
-1.39025688210.2%
 
0.470046907710.2%
 
-1.0055917510.2%
 
1.25653505310.2%
 
-1.0280237210.2%
 
-0.131954386810.2%
 
0.505072176510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79295122610.2%
 
-1.79286694510.2%
 
-1.78604066410.2%
 
-1.78403568310.2%
 
-1.78241324410.2%
 
-1.77817118210.2%
 
-1.77179467710.2%
 
-1.77077436410.2%
 
-1.76396405710.2%
 
-1.74931299710.2%
 
ValueCountFrequency (%) 
1.62433958110.2%
 
1.62244856410.2%
 
1.62205207310.2%
 
1.6087417610.2%
 
1.60816252210.2%
 
1.59404087110.2%
 
1.59312355510.2%
 
1.59176647710.2%
 
1.56679296510.2%
 
1.55520963710.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3283064365386964e-11
Minimum-1.762926459312439
Maximum1.7639405727386477
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:41.028471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.762926459
5-th percentile-1.558879328
Q1-0.8559831977
median-0.02236888371
Q30.86334984
95-th percentile1.568775994
Maximum1.763940573
Range3.526867032
Interquartile range (IQR)1.719333038

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)4.294967285e+10
Kurtosis-1.161961669
Mean2.328306437e-11
Median Absolute Deviation (MAD)0.8639282882
Skewness0.01965354904
Sum1.164153218e-08
Variance0.9999999947
2020-08-25T00:41:41.134888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.44119083910.2%
 
-1.72134244410.2%
 
-0.578419983410.2%
 
0.0762568041710.2%
 
-0.611628234410.2%
 
-0.237379863910.2%
 
1.13537073110.2%
 
-0.387848168610.2%
 
-0.0371287614110.2%
 
0.68878841410.2%
 
-0.38687583810.2%
 
-0.596995055710.2%
 
1.53256833610.2%
 
-1.63540101110.2%
 
-1.06509137210.2%
 
-1.54946947110.2%
 
0.945660173910.2%
 
0.603425979610.2%
 
-0.230794057310.2%
 
-1.29181051310.2%
 
1.29095649710.2%
 
1.4244861610.2%
 
1.60057425510.2%
 
0.918303966510.2%
 
-0.473912537110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76292645910.2%
 
-1.73956823310.2%
 
-1.73712003210.2%
 
-1.73370051410.2%
 
-1.73250913610.2%
 
-1.72689557110.2%
 
-1.72134244410.2%
 
-1.7193229210.2%
 
-1.70575571110.2%
 
-1.70283269910.2%
 
ValueCountFrequency (%) 
1.76394057310.2%
 
1.73827552810.2%
 
1.73555576810.2%
 
1.73261809310.2%
 
1.73094594510.2%
 
1.72879254810.2%
 
1.72370004710.2%
 
1.72287595310.2%
 
1.70578420210.2%
 
1.70234072210.2%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.601935744285583e-10
Minimum-1.7232069969177246
Maximum1.7661861181259155
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:41.252827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.723206997
5-th percentile-1.538806796
Q1-0.8579669893
median-0.04606072046
Q30.8451305777
95-th percentile1.533597189
Maximum1.766186118
Range3.489393115
Interquartile range (IQR)1.703097567

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)1041456666
Kurtosis-1.185963823
Mean9.601935744e-10
Median Absolute Deviation (MAD)0.8525321484
Skewness0.005023206415
Sum4.800967872e-07
Variance0.9999999971
2020-08-25T00:41:41.355581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.302245169910.2%
 
-0.202412009210.2%
 
-1.36582434210.2%
 
-1.72320699710.2%
 
-1.58460748210.2%
 
1.37367200910.2%
 
0.439811199910.2%
 
-0.0484846457810.2%
 
-0.423982828910.2%
 
1.15170657610.2%
 
-0.977860748810.2%
 
-0.615557432210.2%
 
-1.60221540910.2%
 
0.852866172810.2%
 
-0.0345664285110.2%
 
-1.41472649610.2%
 
1.66073036210.2%
 
1.7623866810.2%
 
1.59051370610.2%
 
-0.44303910.2%
 
-1.4036222710.2%
 
-0.254563480610.2%
 
-0.662228941910.2%
 
1.15497839510.2%
 
1.36005806910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72320699710.2%
 
-1.71661317310.2%
 
-1.70590114610.2%
 
-1.68746054210.2%
 
-1.67615699810.2%
 
-1.66638934610.2%
 
-1.6639207610.2%
 
-1.6631654510.2%
 
-1.65709543210.2%
 
-1.65636134110.2%
 
ValueCountFrequency (%) 
1.76618611810.2%
 
1.76518499910.2%
 
1.76495361310.2%
 
1.7623866810.2%
 
1.74750077710.2%
 
1.72587513910.2%
 
1.69964432710.2%
 
1.69274485110.2%
 
1.69237303710.2%
 
1.6867809310.2%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.399357855319977e-10
Minimum-1.6597979068756104
Maximum1.79097580909729
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:41.476416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.659797907
5-th percentile-1.534560221
Q1-0.85363473
median-0.02683016658
Q30.8213178813
95-th percentile1.643640828
Maximum1.790975809
Range3.450773716
Interquartile range (IQR)1.674952611

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1351468628
Kurtosis-1.142964738
Mean7.399357855e-10
Median Absolute Deviation (MAD)0.8466069996
Skewness0.07240067149
Sum3.699678928e-07
Variance1.000000002
2020-08-25T00:41:41.586569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.232111185810.2%
 
0.74811124810.2%
 
0.678029000810.2%
 
-1.21089804210.2%
 
-0.575494229810.2%
 
-0.98509067310.2%
 
0.222976863410.2%
 
-0.423493653510.2%
 
-0.904101848610.2%
 
0.78644496210.2%
 
0.782918214810.2%
 
0.274572372410.2%
 
1.4183546310.2%
 
0.110147468710.2%
 
0.750570774110.2%
 
-1.58268165610.2%
 
0.951464891410.2%
 
0.511068940210.2%
 
-1.12064385410.2%
 
-0.311856120810.2%
 
-1.02800536210.2%
 
-0.942708790310.2%
 
1.74675953410.2%
 
0.344373732810.2%
 
-1.23309457310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65979790710.2%
 
-1.65502965510.2%
 
-1.65157902210.2%
 
-1.64722740710.2%
 
-1.64432311110.2%
 
-1.64167833310.2%
 
-1.63650357710.2%
 
-1.63511872310.2%
 
-1.63220369810.2%
 
-1.62779974910.2%
 
ValueCountFrequency (%) 
1.79097580910.2%
 
1.7904299510.2%
 
1.78265047110.2%
 
1.78005874210.2%
 
1.77398395510.2%
 
1.76901221310.2%
 
1.76102054110.2%
 
1.75283324710.2%
 
1.74710893610.2%
 
1.74675953410.2%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.380460500717163e-09
Minimum-1.713844656944275
Maximum1.7275137901306152
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:41.702948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.713844657
5-th percentile-1.546535444
Q1-0.8162282705
median-0.01041101385
Q30.8829916567
95-th percentile1.571278304
Maximum1.72751379
Range3.441358447
Interquartile range (IQR)1.699219927

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)420086785
Kurtosis-1.173368058
Mean2.380460501e-09
Median Absolute Deviation (MAD)0.8572694557
Skewness0.02151197565
Sum1.19023025e-06
Variance0.9999999971
2020-08-25T00:41:41.966772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.325683206310.2%
 
0.310423195410.2%
 
-0.430316597210.2%
 
-0.988326013110.2%
 
0.0117689911310.2%
 
1.7173675310.2%
 
-1.70450425110.2%
 
-0.492818832410.2%
 
-1.23104643810.2%
 
-0.536730229910.2%
 
-0.877246677910.2%
 
0.406885653710.2%
 
0.961234271510.2%
 
1.08848547910.2%
 
0.896269798310.2%
 
-1.16246998310.2%
 
-0.617517650110.2%
 
-0.40786677610.2%
 
-0.64581710110.2%
 
-1.27238953110.2%
 
0.572577655310.2%
 
1.67054820110.2%
 
-0.240801572810.2%
 
0.286779195110.2%
 
-0.840161204310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71384465710.2%
 
-1.71203470210.2%
 
-1.70450425110.2%
 
-1.70157241810.2%
 
-1.68179202110.2%
 
-1.67809534110.2%
 
-1.67387068310.2%
 
-1.67096376410.2%
 
-1.66940224210.2%
 
-1.66876280310.2%
 
ValueCountFrequency (%) 
1.7275137910.2%
 
1.72566199310.2%
 
1.72118115410.2%
 
1.7173675310.2%
 
1.71376323710.2%
 
1.68450462810.2%
 
1.67985904210.2%
 
1.67865598210.2%
 
1.67717206510.2%
 
1.67054820110.2%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.69617885351181e-10
Minimum-1.7507258653640747
Maximum1.6681334972381592
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:42.085580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.750725865
5-th percentile-1.597598761
Q1-0.941204533
median0.07711374015
Q30.8461073488
95-th percentile1.510222977
Maximum1.668133497
Range3.418859363
Interquartile range (IQR)1.787311882

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)3708952754
Kurtosis-1.204905872
Mean2.696178854e-10
Median Absolute Deviation (MAD)0.8350726888
Skewness-0.1089475752
Sum1.348089427e-07
Variance0.9999999971
2020-08-25T00:41:42.188074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.546874582810.2%
 
1.47137618110.2%
 
1.08721852310.2%
 
-1.40172433910.2%
 
0.9173114310.2%
 
0.605789184610.2%
 
1.29848694810.2%
 
-1.13736712910.2%
 
-0.569660842410.2%
 
-1.58634138110.2%
 
-0.858725726610.2%
 
-0.12703514110.2%
 
1.05534875410.2%
 
-1.73504245310.2%
 
-1.51003944910.2%
 
-0.340989708910.2%
 
1.18629336410.2%
 
0.960598230410.2%
 
-1.68613874910.2%
 
0.258472591610.2%
 
-1.15694510910.2%
 
-0.0153600117210.2%
 
0.492855697910.2%
 
1.66087818110.2%
 
-0.993431389310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.75072586510.2%
 
-1.74992489810.2%
 
-1.7479028710.2%
 
-1.74232709410.2%
 
-1.73531460810.2%
 
-1.73504245310.2%
 
-1.7316778910.2%
 
-1.71890795210.2%
 
-1.71323156410.2%
 
-1.70781993910.2%
 
ValueCountFrequency (%) 
1.66813349710.2%
 
1.66784560710.2%
 
1.66087818110.2%
 
1.6518884910.2%
 
1.64409005610.2%
 
1.63813114210.2%
 
1.63394689610.2%
 
1.62210214110.2%
 
1.61686027110.2%
 
1.61668145710.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2293457984924317e-09
Minimum-2.6289546489715576
Maximum2.004446268081665
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:41:42.303771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.628954649
5-th percentile-1.814489937
Q1-0.7933630943
median0.2625108957
Q30.7638240904
95-th percentile1.312182522
Maximum2.004446268
Range4.633400917
Interquartile range (IQR)1.557187185

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-813440778.3
Kurtosis-0.5906404286
Mean-1.229345798e-09
Median Absolute Deviation (MAD)0.601568982
Skewness-0.5864036907
Sum-6.146728992e-07
Variance1.000000006
2020-08-25T00:41:42.400370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.515624284710.2%
 
-1.56122100410.2%
 
0.391269236810.2%
 
0.936209261410.2%
 
-1.04555439910.2%
 
0.957352280610.2%
 
0.851885497610.2%
 
-1.63150918510.2%
 
0.90787732610.2%
 
1.30339014510.2%
 
1.17317104310.2%
 
0.640954375310.2%
 
-0.040486946710.2%
 
-0.957362592210.2%
 
0.672348976110.2%
 
0.827076137110.2%
 
-0.107711501410.2%
 
0.76596391210.2%
 
-0.0217086691410.2%
 
1.67646551110.2%
 
1.09748530410.2%
 
-0.922223329510.2%
 
-1.48702621510.2%
 
0.300955951210.2%
 
-1.12179672710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.62895464910.2%
 
-2.53457784710.2%
 
-2.42951679210.2%
 
-2.41822171210.2%
 
-2.31539702410.2%
 
-2.2895193110.2%
 
-2.2789795410.2%
 
-2.26223182710.2%
 
-2.23708033610.2%
 
-2.14680004110.2%
 
ValueCountFrequency (%) 
2.00444626810.2%
 
1.92674398410.2%
 
1.69357132910.2%
 
1.67646551110.2%
 
1.671151410.2%
 
1.62140464810.2%
 
1.56490147110.2%
 
1.55411398410.2%
 
1.53841257110.2%
 
1.52067017610.2%
 

Interactions

2020-08-25T00:40:38.115909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.265083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.406605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.551907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.693706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.833206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:38.982240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.135419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.274904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.574350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.714279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.849820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:39.996956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.141986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.282136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.425685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.564425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.703764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.842366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:40.981405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.112443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.259354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.397869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.541504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.682631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.826598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:41.962154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.104918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.246432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.395743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.535451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.675202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.813371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:42.950421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.091973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.231878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.370608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.509479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.826732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:43.970997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.101983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.248191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.393968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.542229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.698786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.843425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:44.990000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.143380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.288594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.432763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.585333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.747659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:45.899994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.043979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.187919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.336593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.478978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.623248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.774374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:46.917783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.054675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.199153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.340091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.491161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.636801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.778259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:47.916755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.225399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.377799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.520663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.672467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.817823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:48.958422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:49.099695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:40:49.237407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:41:19.724008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:19.869689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.010788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.152148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.291173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.431711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.574894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.713278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.853138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:20.992007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.131374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.267770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.407542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.545592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.683314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.823237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:21.962717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.100156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.405217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.535951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.672195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.808311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:22.953521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.093622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.231797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.370301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.513338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.654281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.795584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:23.932297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.071952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.210844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.350760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.490414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.628798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.769852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:24.911494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.058920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.197695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.327537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.467768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.605970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.749000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:25.891441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.034152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.174188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.317024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.643167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.777995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:26.916439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.063849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.205881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.349251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.489659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.636311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.776401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:27.913535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.057309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.195110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.325809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.465017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.612437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.755259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:28.895052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.036789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.178540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.333645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.472483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.618841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.759895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:29.906114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.046328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.197546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.335798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.474344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.615746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:30.923895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.063569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.204281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.336933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.476639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.620601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.763290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:31.902490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.041167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.182196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.322934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.461468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.602704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.745532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:32.886107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.028687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.171052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.314319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.457553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.595919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.737138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:33.880496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.018792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.153836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.285093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.413541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.545046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.689276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:34.817941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.115495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.249770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.377388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.502335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.630038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.763126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:35.890722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.018106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.148097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.279782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.409322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.541750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.671040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:36.804883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:41:42.540262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:41:42.843190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:41:43.144411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:41:43.453701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:41:37.075132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:41:37.544673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

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01.6055681.4197541.081780-0.3083050.7877030.282318-1.5354390.0310310.077777-1.7309990.361765-1.023779-0.8084800.829691-1.1289561.121765-0.284076-0.0345321.143875-0.855022
10.810164-0.025446-0.818882-1.203964-1.722761-0.1455991.5557931.282627-1.608523-1.164724-0.276468-1.2808921.1927380.5705660.9594320.4808551.152017-0.2164311.6440900.768451
20.409688-0.621832-0.388307-0.8660000.9308861.0115161.381062-0.6821921.0261861.5379400.2757700.8593970.2147001.481809-1.719323-1.663921-0.224686-0.4081101.4989400.464799
30.5892920.6149851.421457-0.875914-1.4459231.492178-0.147128-0.8292260.1100160.7951861.522630-0.051262-1.364435-0.0690290.933515-0.1025071.769012-1.5569970.2057100.501360
40.6066621.5591940.566582-0.8047620.540787-0.1852551.819630-0.076575-0.9807250.1609680.3122930.2444890.1569010.3232050.0291080.459805-1.5316720.581418-1.085257-1.492234
50.778957-1.305574-0.729888-1.2633190.7215041.1097230.8238651.3999821.0975421.208992-0.487033-1.7884210.6182800.6808370.4553561.725875-1.3363141.140883-1.036406-1.346455
61.0023631.591638-1.3972661.587264-0.710225-1.3769781.243655-1.5344661.2610370.290685-0.240649-1.1373530.598201-0.0499970.873672-0.2391051.4231260.384665-1.119857-1.795828
7-0.335077-0.0736560.315300-1.539724-1.581769-0.0789980.3923581.4535250.7691700.750981-0.299943-0.9277641.743173-0.473439-0.9713281.2752160.9331431.5650110.420689-1.004946
81.3513480.950477-0.863503-1.175608-1.4728580.7985071.5974971.456708-1.3841891.5919480.6715740.3506100.544543-1.3142090.529010-1.5487250.428189-0.060052-1.7507260.689748
91.1425641.382271-1.4099420.3457960.2873590.4559910.4528410.538200-0.9847841.2915281.2912010.614871-1.524511-0.321239-0.2237900.255031-0.0973931.727514-0.526774-0.929584

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
4900.8058551.377087-0.912886-0.730131-0.3113730.532297-1.220451-1.084940-0.2501430.311094-0.8878860.6175090.302659-0.5492120.6825850.5253711.144631-1.444750-0.3205820.872142
4910.6396351.3702700.5038641.1224331.268099-1.107066-0.1562430.1120321.0708710.4519551.4328160.5896381.4832501.146876-1.134252-1.3131460.768409-1.2708430.575596-2.057929
492-1.173166-0.977355-0.6482350.219346-1.505653-0.678913-0.542201-1.665422-0.828738-1.402733-0.7054000.0740251.486485-1.029746-0.1558931.2061641.744464-0.1128511.5101510.174606
493-0.804418-0.8671291.518690-1.0973770.4748110.412577-0.055257-0.569309-0.599257-0.6429711.589652-0.264572-1.246398-0.2374340.863141-0.571860-1.4987191.725662-0.424828-0.728987
4940.1290981.6887771.3974200.598853-1.025085-0.882515-0.6313261.333182-1.6458960.835443-1.6257171.271429-0.4287781.3470361.590134-1.281787-1.588713-0.423715-1.4017240.814138
495-0.821482-0.6908070.982906-1.016597-0.977533-0.190495-1.6904400.8012031.507052-0.502882-1.505811-0.9245321.296593-1.584464-1.0627680.3811550.0046850.183239-0.535893-0.149082
496-0.3105091.446201-0.9963051.1383950.651551-0.952805-1.453204-0.763422-0.3693420.7678660.060798-0.266244-0.4130250.5151950.5258241.450210-0.1817140.9459090.819288-1.074204
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498-0.9434031.189005-0.542130-0.8657190.2565710.2666191.1123010.4796560.1730111.597883-1.4028801.608497-1.0484260.738014-0.387573-0.244180-1.192700-1.648175-1.123515-0.888292
499-0.998361-1.3317530.554804-1.657498-0.446973-0.888924-0.720377-0.615581-1.552021-0.9167871.5455551.1756810.312213-1.3448870.0909081.2475131.704507-0.4009611.2920600.046278